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Carl Yang

Carl Yang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Vision & language; often with Ran Xu, Aman Rangapur, Haoran Wang.

3 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 34 · 250 works · 4,201 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 79 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #8159

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Emory UniversityAtlanta · United States2020–2026 · 201 papersEmployment 2020–2026 · Assistant Professor, Computer ScienceEmployment since 2026 · Associate Professor, Computer Sciencecurrent🎓Georgia Institute of TechnologyAtlanta · United States2024–2026 · 2 paperscurrent🎓University of Illinois Urbana-ChampaignUrbana · United States2014–2024 · 22 papersEducation 2014–2020 · PhD, Computer Science🎓Zhejiang UniversityHangzhou · China2010–2014Education 2010–2014 · BEng, Computer Science and Technology

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workSociology and Political Science · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment (2026 · 25 citations)
    Reward models for RLHF usually output a single score or a pairwise verdict. These signals miss the many dimensions of human preference, especially in subjective tasks where correctness cannot be checked automatically. Rubric-based rewards can help, but rubrics written by experts are costly, and rubrics produced by…
  2. Piecing It All Together: Verifying Multi-Hop Multimodal Claims (2025 · 8 citations)
    The paper addresses a gap in fact-checking research. Existing benchmarks either handle multimodal claims or multi-step textual reasoning, but none require both together. The authors define a new task, multi-hop multimodal claim verification. A system must combine several pieces of evidence from text, images and…
  3. Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation (2024 · 5 citations)
    Reward models used to align LLMs need preference data: a prompt, two candidate answers and a label saying which is better.

All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetWenqi Shi et al.2024 · 74 citations
  2. SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetYuxin Xiao et al.2022 · 72 citations
  3. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Tianci Liu, Ran Xu, Tony Yu, et al.2026 · 25 citations
  4. Piecing It All Together: Verifying Multi-Hop Multimodal ClaimsInternational Conference on Computational Linguistics (COLING)Haoran Wang, Aman Rangapur, Xiongxiao Xu, et al.2025 · 8 citations
  5. Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data GenerationarXiv:2407.16008Jiaming Shen, Ran Xu, Yennie Jun, et al.2024 · 5 citations
  6. RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetRan Xu et al.2026

 Co-authors here

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 79 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

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